Mathematics jobs in , London - Page 3Create job alerts

Mathematics Undergraduate Degree [first class honours desirable]. Graduate Maths Mentor | The Role:. Graduate Maths Mentor | Immediate Start | Lambeth.

The school has a strong therapeutic and nurturing ethos, ensuring that every pupil feels valued and able to achieve. The School Offers A curriculum combining English, Mathematics and Science with vocational pathways such as Beauty, Hairdressing and Barbering. Works well as part of a team and shares

Holds Qualified Teacher Status (QTS) or equivalent,. Benefits in line with Future Academies’ terms: teacher pension, wellbeing support, enhanced leave, etc.

My client are actively looking for an individual with an appetite to join quant finance, coming from a postdoc or PhD in Mathematics, ideally stochastics, probability or combinatorics. A PhD (or near completion) in mathematics, statistics, theoretical computer science, or a closely related disciplin

Crossing Hurdles is a recruitment firm.We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI models.Review and verify AI-generated mathematical content, ensuring accuracy, clarity, and consistency.Conduct in-depth checks a

Maths Graduate | Barnet | January 2026 Start Are you a Maths Graduate seeking an exciting new challenge in an outstanding educational setting? An exceptional secondary school in Barnet, rated Outstanding by Ofsted, is seeking a passionate and driven Maths Graduate to join its high-performing department from January 2026. This full-time Maths Graduate position offers a fantastic opportunity for a committed Unqualified Maths Teacher to make a real impact within a thriving and well-resourced Maths department. Maths Graduate | The Role Location: Barnet, North London Contract: Full-time, long-term Start Date: January 2026 As a Maths Graduate, you will: Deliver dynamic and effective Maths lessons across Key Stages 3, 4, and 5 Work collaboratively with a forward-thinking Maths team What the School Offers A highly academic environment with a strong tradition of success Modern facilities and excellent departmental resources Tailored professional development and clear pathways for career progression The Ideal Maths Graduate Has a bachelors degree in Mathematics from a Russell Group university (minimum 2:1) Is confident in teaching GCSE and A-Level Maths to high-achieving students Demonstrates excellent subject knowledge and strong classroom management If you're a dedicated Maths Graduate ready to join a high-achieving and supportive school community, we encourage you to apply now for this rewarding role starting in January 2026. Ribbons & Reeves are Londons leading Education Recruiters. We specialise in helping educators of all levels secure long-term and permanent roles, such as this Maths Graduate role in Barnet. For other roles like this, check out our website, search Ribbons & Reeves. We look forward to supporting you in your application to this Maths Graduate role. TPBN1_UKTJ

The Opportunity Baker Hicks have grown rapidly in the Transmission & Distribution sector over the last number of years and have been successful in winning a number of major projects within the UK. As the demand to deliver exceptional engineering design from our clients continues to grow, an opportunity has arisen for a Senior HV Cable Design Engineer. As Senior HV Cable Design Engineer will be reporting to the Principal Engineer – HV and will be responsible ensuring the quality and consistency of the team’s output in the production and control of drawings and technical documents. You will also work with the Sector Director - Power to assist during the bid process in order to secure further work. About You • You must have experience in producing and checking all designs, calculations, reports, and drawings related to new or modified HV/EHV projects ranging from 11kV to 400kV, specifically for cable system designs., • This includes the production of bonding line diagrams, cable rating calculations, induced voltage calculations, short circuit force calculations, thermo-mechanical thrust calculations, pulling tension calculations, material specification lists, etc., • The candidate must have experience as a technical lead in project delivery and act as the primary point of contact. This role requires excellent client facing skills and the ability to communicate technical matters effectively to both internal and external stakeholders at various expertise levels., • The candidate must have a solid foundation in mathematics and science, preferably with a background in power engineering, and possess strong communication skills., • In this role, they will manage the production of project deliverables through a rigorous checking process, including the development of drawing packages in collaboration with dedicated CAD technicians., • This position requires coordination with CAD technicians, HV cable engineers, and engineers from other disciplines (Primary, Civil and Structural, Geotechnical)., • A relevant degree in BEng / Bsc in Electrical Engineering with Power / HV background., • Ideally working towards MEng / Msc in Electrical Engineering with Power / HV background., • Working toward CEng status, will be an added advantage. Why this role? • You will form part of a team that is a trusted partner for some of the UK's largest critical infrastructure projects., • You will be joining a diverse, established team with a varied background of skills and expertise, who value new ideas and welcome innovative solutions. You are encouraged to take ownership and have freedom in decision-making., • Working as part of a multi-disciplinary team you will have links into the wider network of engineers within the business to learn and grow., • You will manage a small team responsible for production of project deliverables through a robust checking process but must also support the CAD technicians with the development of drawings and support the actual delivery of the outputs. About BakerHicks We’ve been innovating in design, engineering and project delivery since 1957 and operate from 14 locations for a truly European reach. For more about our company story, see: ___. BakerHicks. A ___ company. Benefits Whatever your discipline, you’ll be alongside some of the most talented people in the industry. Our network of offices are appealing, friendly and comfortable spaces, easily accessible by car or public transport. And our salary and benefits packages are some of the best in the industry. What you get will depend on what you do, with individual performance-related rewards also on offer in addition to: • Company car or cash allowance, • Up to 6% matched contributory pension plan, • Life assurance scheme, • 25 days annual leave plus ability to buy additional leave, • Discount scheme (including gym membership, mobile phones etc), • Flexible working, • Family friendly policies, • Employee assistance, • Professional development BakerHicks is an equal opportunity employer. We care about creating an inclusive atmosphere and are committed to promoting diversity and inclusion throughout. BakerHicks is an inclusive organisation welcoming talent from all backgrounds. Applicants are assessed on the basis of personal merit and qualifications. To read more, download the full JD below

Fully Remote (Europe & UK) | Early-Stage Startup | Stealth Mode What We're Building We're a well-funded startup developing a proprietary AI model that takes a fundamentally different approach to machine learning. Not iterating on existing architectures - building something new from the ground up. We need a physicist who can turn theoretical insights into production systems. People who understand why the math works before they write the code. The Role You'll be developing core components of our AI model - hands-on work at the intersection of physics, mathematics, and ML engineering. This isn't research theatre. You'll own significant pieces of our model architecture from mathematical foundations through implementation and optimisation. Small team. High calibre. Real ownership. As we scale, opportunities to build and lead teams. We're hiring immediately. What You'll Actually Do Design and implement novel learning approaches informed by physics and mathematics. Take concepts from statistical mechanics, information theory, and dynamic systems - make them work in a production ML system. Debug why your theoretically sound approach breaks at scale. Fix it. Ship it. Daily reality: mathematical derivations, performance optimisation. You'll need to be comfortable moving between theory and systems-level engineering within the same afternoon. Required Qualifications Education & Experience: • PhD in Physics or Mathematics (strong mathematical physics background preferred), • 5+ years professional ML/AI engineering, data science, or equivalent Core Technical Areas: Mathematics: • Advanced linear algebra, optimisation, numerical methods, • Probability, statistics, information theory, • Graph theory Physics: • Statistical physics and theoretical physics, • Dynamic systems (energy landscapes, emergent systems), • Modeling and simulation Machine Learning: • Parameter-free learning approaches, • Bayesian methods and belief systems, • Unsupervised learning and Graph Neural Networks, • Computational optimisation at scale, • Strong foundation in algorithms and data structures Engineering: • Python proficiency, • ML frameworks (PyTorch, TensorFlow, or equivalent), • Distributed training systems, • Translating theory into working implementations Nice to Have Knowledge graphs, reinforcement learning, and ontology development Who Thrives Here You work fast in loosely defined environments. Competing priorities don't slow you down. You own problems end-to-end. If you need to learn something to solve it, you learn it. You're comfortable with ambiguity and rapid context switching. Startup pace doesn't rattle you. Clear communicator in English. Self-sufficient but collaborates well. Currently fully remote, but flexible if we need hybrid arrangements later. This Won't Fit If: • You need complete specs before starting, • You think rigorous means slow, • Current ML paradigms satisfy you, • Proving theorems appeals more than deploying systems What We Offer Direct Impact: Build proprietary AI architecture from scratch Equity: Meaningful stake as an early team member Growth: Lead teams as we scale Resources: Hardware, equipment, conference attendance, publication opportunities Autonomy: Real ownership of technical decisions Flexibility: Fully remote within Europe/UK (CET hours) Compensation: Competitive salary and equity package (discussed during interviews) Location Fully remote, Europe/UK based, available during CET business hours. May transition to hybrid later. Apply Send your CV to We're reviewing applications on a rolling basis and responding quickly to strong candidates.

🎓 Graduate Software Developer / Quantitative Developer / Quantitative Researcher 📍 Location: London (Hybrid) 💷 Salary: Up to £180,000 + Bonus + Full Benefits 🏢 Client: Elite Hedge Fund Kickstart Your Career Just graduated and ready to launch your career in high-performance technology and quantitative finance? Join a leading global trading firm where innovation rules — no legacy systems, no bureaucracy, just a fast-paced, intellectually challenging environment built for growth. With unlimited access to cutting-edge tech and mentorship from world-class engineers and quants, you’ll work on impactful projects that help shape the future of trading. What You’ll Do • 🧠 Build and enhance advanced trading systems and infrastructure, • 📊 Design and implement your own quantitative models, • 🤝 Collaborate closely with top engineers, quants, and researchers on complex problems, • 🚀 Rapidly learn and develop your skills in a culture that rewards initiative What You’ll Bring • 🎓 Degree in Mathematics, Computer Science, Physics, Engineering, or related STEM field, • 💻 Proficiency in at least one programming language (Python, C++, Java, C#, KDB+/Q, etc.), • 🔍 Strong analytical mindset and passion for solving complex challenges, • ⚡ High motivation, curiosity, and eagerness to thrive in a fast-paced setting Why Join? • 🌍 Work on greenfield projects from day one — your work truly matters, • 🧠 Collaborate with some of the brightest minds in both technology and finance, • 🛠 Gain access to world-class tools, infrastructure, and resources, • 📈 Accelerate your career growth in a meritocratic, high-performance culture Apply now or contact me directly:

Candidates for this opportunity will have a PhD from a top tier University in Computer Science or other quantitative field such as Signal Processing, Data Mining, Mathematics, Operations Research etc.

One of the market leading prop trading firms are looking for a recent graduate to join their High Frequency Trading team as a Quantitative Researcher. A PhD or Master’s Degree in a relevant Quantitative Field (Mathematics, Computer Science, Engineering, Physics etc).

ECT A-Level Mathematics Teacher. Connaught Education is currently supporting one of the foremost independent colleges in London to appoint an Early Career Teacher of Mathematics on a permanent basis, this role will focus on Key Stage 5 specifically. The successful Mathematics Teacher will deliver th

Suitable for ECTs and experienced teachers. We are working in partnership with a forward-thinking and ambitious secondary school that is seeking to appoint a passionate and committed Teacher of Maths to join their vibrant and supportive team. Be a confident and enthusiastic teacher of Mathematics, a

Background in computer science, mathematics, or engineering.

You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. Excellent opportunity for a passionate Quantitative Analyst to join an excellent c

ECT A-Level Mathematics Teacher Independent Sixth Form College Full-time, Permanent Contract LondonConnaught Education is currently supporting one of the foremost independent colleges in London to appoint an Early Career Teacher of Mathematics on a permanent basis, this role will focus on Key Stage

Lead Data Engineer • £90,000–£100,000, • Central London | Hybrid (3 days on-site) A leading European intellectual property firm is seeking a "Lead Data Engineer" to join its Technology & Innovation team. The firm partners with some of the world’s most innovative and successful organisations, helping to improve lives by supporting creativity, technology, and progress. Its people are at the heart of everything it does — talented, curious, and collaborative individuals who thrive on solving complex challenges and delivering exceptional results. The firm fosters a friendly, inclusive environment where ideas are shared freely, learning is continuous, and everyone is empowered to be their authentic selves. The organisation is a proud supporter of initiatives that promote diversity, inclusion, and social mobility, and actively champions wellbeing and community engagement across all areas of the business. 🚀 The Opportunity Reporting to the Director of Technology & Innovation, the "Lead Data Engineer" will play a pivotal role in shaping the firm’s data and analytics landscape. The successful candidate will lead a high-performing team responsible for designing, building, and optimising scalable, cloud-based data platforms that drive business intelligence, AI innovation, and data-informed decision-making across the firm. This senior role combines hands-on technical expertise with strategic leadership, offering the opportunity to define the data vision and enable meaningful business transformation. Key Responsibilities • Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP)., • Develop ETL/ELT pipelines to manage structured and unstructured data at scale., • Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics., • Integrate AI and automation into the firm’s data infrastructure., • Establish data governance frameworks, ensuring quality, consistency, and compliance (GDPR, ISO 27001)., • Partner with business leaders to align data initiatives with organisational objectives., • Mentor and develop a team of data engineers and analysts. Candidate Profile • Proven experience leading data engineering or BI teams in complex organisations., • Expertise in cloud data platforms and data processing services., • Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling)., • Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures., • Familiarity with AI/ML applications, metadata management, and data lineage tracking., • Excellent communication and stakeholder management skills., • Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is advantageous but not essential. Why Join? The firm believes in maintaining a healthy work-life balance and offers a culture that supports wellbeing, growth, and flexibility. Alongside a competitive salary, the role offers: • 25 days’ holiday (increasing with service) plus holiday buy and bonus schemes, • Up to 10% employer pension contribution, • Private medical insurance via Bupa, • Generous family, fertility, and wellbeing policies, • Hybrid and flexible working arrangements, • Paid volunteering day each year, • Access to 24/7 wellbeing and mental health support To find out more click apply or email

Role Overview As a Knowledge Engineer, you will design and implement intelligent knowledge systems that enable structured reasoning, advanced analytics, and effective decision-making. You will work with domain experts and clients to capture, model, and operationalize knowledge into scalable frameworks. Your contributions will ensure that data, processes, and business logic are transformed into actionable insights, powering AI-driven solutions across industries. Key Responsibilities • Knowledge Modeling & Representation: Design and implement ontologies, taxonomies, and semantic structures to capture domain expertise and business rules., • Building Knowledge Systems: Develop and maintain reasoning engines, knowledge graphs, and rule-based systems to support intelligent applications., • Business Problem Solving: Translate real-world challenges into knowledge-driven solutions that improve decision-making and operational efficiency., • Client & Domain Expert Engagement: Collaborate with clients and subject matter experts to capture domain-specific knowledge and translate it into structured frameworks., • Integration with AI & Data Pipelines: Work closely with AI Engineers and Data Scientists to integrate knowledge models into production workflows., • Continuous Improvement: Refine and optimize knowledge bases and reasoning systems based on evolving requirements and performance feedback., • Analytical & Structured Thinking: Ability to model complex domains into logical, structured, and computable knowledge representations., • Collaborative: Strong communication skills to bridge technical teams, business stakeholders, and domain experts., • Problem-Solver: Focused on applying knowledge engineering techniques to address tangible business challenges., • Adaptable: Comfortable working in fast-changing, multi-domain environments with shifting priorities., • Innovative: Passion for advancing reasoning systems, semantic technologies, and knowledge management practices., • Proven experience in knowledge representation and reasoning (ontologies, logic-based systems, knowledge graphs)., • Hands-on experience with semantic technologies (RDF, OWL, SPARQL, SHACL, Protégé, Neo4j, GraphDB, etc.)., • Solid foundation in Artificial Intelligence concepts including inference engines, natural language understanding, and machine reasoning., • Proficiency in programming languages such as Python, Java, or C++, with exposure to graph databases and rule-based systems., • Background in Computer Science, Cognitive Science, Information Science, Mathematics, or related technical fields., • Familiarity with Generative AI integration

• Join one of the UK's most successful Technology Transfer organisations., • Aid the development of exciting innovation within Physical Sciences & Engineering., • UCLB’s track record of success includes over £1.5bn raised in investment for UCL spinouts. About the opportunity: UCL Business Ltd, a wholly owned subsidiary of University College London (UCL), has been successfully generating substantive income and impact for UCL and its partner hospitals for 30 years through the commercialisation of novel research. To support an increasing pipeline of opportunities arising from the UCL research base, we are seeking to recruit a high-quality candidate to the role of Business Manager in the Physical Science & Engineering (PS&E) team. What you'll be doing: The individual we are seeking will work on the identification, development and commercialisation of a portfolio of projects arising from across the Faculties of Engineering, Mathematics & Physical Science with a focus on AI, Robotics, Computer Science and related disciplines. This role within a leading university research commercialisation company provides a unique opportunity to work collaboratively with the academic staff of a globally rated Top 10 University, investors, industry and other professionals. If you are looking to make a difference by driving forward world-changing technologies and innovations that can have a real and positive impact on people and planet, then this may be the role for you. What experience you'll need: • You will have at minimum a first degree or equivalent in an engineering or physical science-related discipline, with a strong AI, robotics or Computer Science component and be able to demonstrate experience and success in technology commercialisation. Previous university technology transfer experience would be helpful, but is not essential., • An entrepreneurial and innovative mindset, having worked within start-up environments or advised on product development and/or growth strategies., • The highly varied nature of the role and navigation of the many potential paths for commercialisation, best suits a highly motivated and enthusiastic individual, who has the negotiation, communication and organisational skills necessary to identify and develop early stage technology commercialisation projects. What you'll get in return for your talents: A competitive salary of £49,000 to £60,000 depending on experience and qualifications. In addition, the company offers a performance related pay scheme of up to 10% of salary, generous holiday allowance (31 days & 8 Bank holidays), flexible and hybrid working (2 days in the Central London office per week, 3 days WFH), private healthcare as well as a defined contribution pension scheme with up to 16% contribution from us! What's next? Our recruitment partner Roy Bennett at ADLIB Recruitment is handling this vacancy you can apply to this advert, or contact him directly if you have any queries - . UCL Business is an equal opportunities employer.

Primary Responsibilities: • Lead the quarterly risk review (QRR) and top risk review processes with key function leaders and control owners., • Draft and contribute to regular risk reports to Boards, Committees, and Management, including syndicate and MGA risk reports., • Monitor and develop the risk appetite framework for active Lloyd’s syndicates., • Coordinate the impact of business and operational activity on syndicate risk registers, working with Compliance, Internal Audit, and SOX stakeholders., • Take the lead on syndicate-related risk incident responses., • Develop a working understanding of new risks and controls., • Facilitate the use of the new GRC system to support the risk register, • Manage daily activities of Risk Team members (currently one Risk Analyst). Support Responsibilities: • Support ESG and Climate Change Risk compliance efforts., • Assist the CRO in chairing the Insurance Risk and Exposure Committee (IREC), ensuring strong oversight over Exposure Management, Capital, and Pricing functions., • Collaborate with business leaders to identify and manage Emerging Risks., • Maintain the Risk Governance Framework, including annual reviews of policies and procedures., • Develop and deliver risk training as needed., • Build and maintain effective relationships with internal and external risk functions., • Support the maintenance and relevance of wind-down (resolution) plans. Skills & Experience • University degree (preferably in Mathematics, Science, or Economics); advanced degree or relevant professional qualifications preferred., • Strong academic background with proven mathematical and analytical skills., • Minimum 7 years of experience in Insurance Risk (Risk Management, External/Internal Audit); broader insurance experience is a plus., • Experience managing outsourcing risks., • Proficient in Microsoft Excel, PowerPoint, and Power BI., • Experience interacting with financial regulators across multiple jurisdictions (e.g., PRA, FCA, CBI, BMA)., • Critical thinker with the ability to interrogate data and challenge assumptions., • Ability to manage detailed tasks while maintaining a strategic view of enterprise risk., • Strong multitasking and prioritization skills, especially during high-pressure periods.

Senior Pricing Analyst Location: London Reporting to: Merchandise Director Brands: A&B, Diamonds Factory & Sacet About the Role We are seeking a Senior Pricing Analyst to lead pricing strategy across our brands. This role combines data analysis, market research, and stakeholder collaboration to drive revenue growth and profitability. You will translate complex data into actionable insights, guide pricing decisions, and manage a team of pricing analysts. Key Responsibilities • Data & Insights: Analyse sales data, customer behaviour, competitor pricing, and cost structures. Develop pricing models, dashboards, and reports to support decision-making., • Pricing Strategy: Build competitive pricing frameworks, conduct benchmarking, and evaluate the impact of changes on sales, profitability, and market share., • Stakeholder Collaboration: Partner with finance, sales, and marketing to ensure alignment of pricing with business objectives. Present insights and recommendations to senior leadership., • Operational Excellence: Improve pricing processes, maintain systems and documentation, and oversee promotional pricing activities and seasonal adjustments., • Team Leadership: Manage and mentor pricing analysts, ensuring clarity of roles, performance management, and professional development. Requirements • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, or related field (Master’s preferred)., • Minimum 7 years of pricing analysis experience, ideally within retail or luxury jewellery, with exposure to global markets., • Proficiency in Excel, SQL, and ERP or pricing tools; experience with Tableau or Power BI., • Strong understanding of jewellery pricing, market trends, and cost drivers., • Excellent analytical, problem-solving, and communication skills, with the ability to collaborate across teams and manage multiple priorities.

Overview We build AI technology for the heavy industries. We are a real-world AI company: our AI systems are in factories right now making billions of dollars of decisions per year. We are growing rapidly through the seed-series A stage, being on track to increase bookings 5x YoY. We aim to take most of our initial market (steelmaking) in the next two years while launching in new industries at the same time. We are a world-class product and engineering org: our engineers work directly with customers and across the whole technology stack to iterate quickly in a fun, high-trust, but intense environment. Role We are now looking for a world-class candidate to lead Operations and Finance. This is a critical role as we scale from a team of <10 to >20, aggressively expand in the US across multiple industries, and deploy our recent $10m funding round. Some of the things you will do: • Continuously forecast our finances, reconcile them with performance, and use this to inform all major decision making including hiring and fundraising., • Help with our complex capacity planning and staffing needs: how to staff simultaneous complex enterprise projects when the scale is growing constantly, • Build and maintain a budget, and control our finances. This should not just be a routine practice but a strategic activity to reduce our costs without compromising our performance., • People: We have an excellent engine for sourcing and selecting the best engineering talent. You will run the practicalities of payroll, compensation, contracts, probations, terminations., • Fundraising and investor relations: you will play a key role in creating material for investors and interacting with them directly: reporting to current investors, board meetings, and pitching to future investors, • International ops (insurances, visas, etc). We travel globally to our customers. You will make sure our engineers are fully insured, have the right visas, and anything else they need to be successful. You will be strategic about this and own all the decision making: you need to see our emerging markets coming before they arrive and arrange all the practicalities so we are not slowed down. Similarly, you will run our international business administration: You will administer our entities abroad (e.g. American company), handle complex international tax implications, international employees, and decide the best approach to all related matters. Candidates We are looking for a candidate who run operations and finance without direction. • You will already have experience doing most or all of the responsibilities at a similarly sized startup. In principle we are open to a range of experience from just a couple of years up to many years, but your current job title might be finance manager, operations manager, VP, CFO or COO., • You are extremely disciplined, and can be a steady hand under your own direction while our product and engineering org pivots very rapidly and often., • You have a high mathematical aptitude so that you can model the business in spreadsheets and in your head. It’s not necessary but you might have studied economics, mathematics, or similar. You may also have some experience in investment banking or a similarly mathematical career track before pivoting to startups, • It’s also useful but not necessary if you have experience building automations. Simple scripts etc to automate the manual ops and finance jobs or build dashboards. For this role and all others, we are looking for people with the following attributes: • Exceptional ability. Whether in work, school, side projects, or elsewhere, you will have demonstrated exceptional ability. We are open minded about the exact form this takes. Some examples we look for:, • You have played a key role in an early stage startup, • You have won hackathons, music, sport, math or other competitions, • You have an impressive side project, like a popular blog or open source library., • Excellent communication in speech and writing., • Conscientiousness. You want to do good work, regardless of oversight., • You are excited to have freedom to work without too much process and friction, but at the same time, excited to share ideas and work closely with others., • You’re excited to work in the metals industries, and everything that goes with it. That means excited to travel, spend time in massive factories, meeting and working with a wide range of people., • You are comfortable working in uncertain and dynamic environments. Apply • We will do two or more telephone screenings. At least one will be with the CEO., • You will work on something real with the team.

Hobson Prior is seeking a Principal Statistical Programmer to join a global team supporting oncology-focused projects. This role involves working on advanced clinical trials (Phase II-III) and contributing to the development of statistical programming outputs. You will play a key role in designing data models, creating statistical reports, and mentoring junior team members. This is a fully remote position, open to candidates based in the UK, Poland, Spain, Romania, Bulgaria, and Hungary. Please note that to be considered for this role you must have the right to work in this location. Responsibilities: • Design and create specifications for clinical data models (SDTM and ADaM)., • Develop accurate tables, listings, and figures using SAS programming., • Generate complete statistical output reports and validate them for accuracy., • Create automated SAS macros to streamline validation processes., • Perform quality checks on clinical databases using SAS tools., • Document study data following internal guidelines and procedures., • Provide training and guidance to less experienced programmers., • Contribute to the improvement of internal processes and standard operating procedures (SOPs). Key Skills and Requirements: • Advanced degree in Mathematics, Statistics, or a related field., • Proficiency in clinical data standards (CDISC SDTM and ADaM)., • Strong experience in statistical programming within the life sciences industry., • Ability to manage project elements and collaborate effectively with teams., • Experience mentoring and training junior colleagues., • Familiarity with various therapy areas is advantageous. For more information, please contact Jack Gordon. If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists visit the 'Contact Us' page. Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - .

About the Firm Our client is a leading global quantitative hedge fund with over $32bn in assets under management, operating across all major asset classes and time horizons. The firm combines deep scientific research, world-class technology, and disciplined execution to deliver uncorrelated alpha. With a culture rooted in collaboration, innovation, and meritocracy, the firm continues to attract the world’s best researchers, engineers, and traders. The Role The fund is expanding its High-Frequency Trading (HFT) capabilities and is seeking an exceptional Equity Monetisation Quant to join its global systematic trading team. This individual will focus on designing, building, and optimising high-frequency monetisation strategies for the fund’s equity trading business. You will work alongside senior researchers and technologists to identify short-term alpha opportunities, optimise execution, and drive trading efficiency across equity markets globally. Key Responsibilities • Research, design, and implement HFT monetisation strategies within global equity markets., • Analyse large, high-frequency datasets to uncover predictive signals and market microstructure inefficiencies., • Collaborate with technologists to develop low-latency trading infrastructure and simulation frameworks., • Continuously refine strategies through performance analysis, feature engineering, and statistical evaluation., • Partner with senior portfolio managers and execution teams to optimise order routing, execution, and slippage reduction., • Stay abreast of market structure changes, exchange rules, and liquidity dynamics. Key Requirements • Advanced degree (PhD/MSc) in a quantitative discipline such as Mathematics, Physics, Computer Science, Engineering, or Statistics., • 3–10 years’ experience in high-frequency or ultra-low-latency trading (equities or equity derivatives preferred)., • Deep understanding of market microstructure, exchange connectivity, and short-term alpha generation., • Proven track record in researching, implementing, and deploying HFT strategies in live environments., • Strong programming skills in Python, C++ or C#, and comfort working with large-scale, high-frequency data., • Excellent problem-solving ability, intellectual curiosity, and a rigorous scientific mindset., • Strong communication skills and ability to thrive in a fast-paced, collaborative environment. For more information:

Lead Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity

A global long-only asset management firm is seeking an intern to join their highly successful Asian Equities team. This internship offers the opportunity to gain hands-on experience in equity research and work alongside experienced investment professionals. As an Equity Analyst Intern, you will support the Asian Equities team with research and analytical tasks, including: • Gathering and summarising China-related market and company news flow, • Assisting with the preparation and maintenance of ESG company reviews, • Supporting analysts with investment idea generation through fundamental analysis and industry research Candidate Requirements: • Fluent Mandarin speaker, • Bachelor’s degree with at least a 2:1 classification (or equivalent), • Strong numeracy skills with minimum grade A in A-level Mathematics (or equivalent), • Proficiency in Excel, • Self-starter who enjoys independent research, • Comfortable working with limited day-to-day supervision This is a full-time position, and candidates must be available to start immediately. Mason Blake acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. Mason Blake is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.

Quantitative Researcher - Equities This is an opportunity in a tier one hedge fund in London to join as a researcher in a global team specializing in all aspects of quantitative research for equity trading strategies. It is a broad role that will cover equity investing, structuring of strategies, portfolio construction, and direct communication with portfolio managers. Responsibilities: • Portfolio construction and portfolio optimization for the equities book, • Conduct research to evaluate equity modelling and make decisions about risk, • Build and implement advanced quantitative models and tools to guide trading decisions, • Conduct rigorous backtesting and evaluation of trading strategies to assess their effectiveness and profitability across various market conditions Qualifications: • Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Computer Science, Financial Engineering, or Statistics, • Proven experience in quantitative research or algorithmic trading, with a focus on equities, • Strong proficiency in programming languages such as Python A generous total compensation package is on offer with strong progression opportunities.

Looking for a Financial Controller to join the team within an Investment Management firm, supporting the wider finance function, investment team and the MD. Responsibilities: • Coordinate and supervise the accounting processes and, working in partnership with the external SPV administrators and accounting firms, produce accurate and timely information, in particular focusing on:, • Quarterly accounts and investor reporting;, • Transaction and deal support., • Monitor and review transactions including capital calls, distribution calculations and notices;, • Review management fee and carry calculations;, • Assist with forecasting of liquidity requirements for SPV entities;, • Ensure robust controls around cash movements from SPVs, including working with the asset manager/ property manager to correctly monitor and report cashflows in relation to underlying properties;, • Maintain, establish and implement financial and information reporting systems and comply with reporting frameworks (e.g., IFRS, FRS102) and other relevant legislation., • Develop an understanding of investment holding structures and ensure these are maintained correctly., • Work with SPV administrators, accounting firms and auditors for a successful and timely completion of the annual audits by providing support to the external auditors throughout the audit process and carrying out a thorough review of the financial statements for all SPVs., • Work with the SPV administrators to ensure investors receive timely financial information and reporting., • Work alongside the Asset Manager/ property manager in relation to financial and compliance matters Management Company group entities, • Supervise and coordinate the external accounting firms in the preparation of the quarterly management accounts, budgets, cash flow forecasts, corporation tax and VAT returns. Qualifications: • Bachelor’s or Master’s degree from a top University, ideally Mathematics, Sciences, Engineering, Economics or related disciplines, • Qualified ACA/ ACCA/ CA

About BMS BMS is a dynamic, independent global broker delivering specialist insurance, reinsurance, and capital markets advisory services. Our purpose is to help people, businesses and communities flourish and prosper in a world of risk. We are a global brand with offices located across the US, Canada, Latin America, Australia, Europe and Asia with both a strong local focus and understanding of market needs. Being independent gives our brokers the freedom to deliver the best solutions and combined with our collaborative team approach, single platform worldwide and renowned personal service, we are the independent broker of choice. Position Overview In this role you will function as an integral member of the broking team providing professional actuarial services to brokers, clients and prospects. You will work across a wide range of lines of business assisting in providing solutions to clients’ business needs. You will be part of a growing dynamic team with the opportunity to gain extensive experience ranging from portfolio analysis, structuring reinsurance deals and assisting in alternative capital solutions as well as ad hoc projects. Essential Responsibilities • Review accuracy of data and calculations, • Assist in the analysis of risk using data, appropriate models and statistical methods, • Report and assist in interpreting results of actuarial data analysis and produce reports for clients, • Perform data-modelling as well as help convert that data into actionable analysis and reports, • Adhere to established team/personnel objectives as a reflection of company objectives, • Perform required actuarial work in a highly professional and timely manner, • Participate in R&D, and in the improvement and enhancement of existing tools, • Maintain the continuing education requirements as required by the Institute and Faculty of Actuaries Required Education, Experience and Skills • Bachelor’s degree from university preferably in Mathematics, Economics, Finance or Business (2:1 minimum), • Making good progress towards qualification with the IFOA, • Knowledge and understanding of pricing and reserving concepts, • Developmental skills, • Ability to communicate clearly and effectively (both written and verbal), • Ability to interact with all levels of employees with good interpersonal and relationship management skills, • Forward thinker and planner; proactive and uses initiative, • Adapt and respond well to change and pressure

About Lenstra Lenstra was created by the passion of engineers specialised in Computer Science with a proven history in delivering top quality solutions to its customers. Bringing together work excellence and vision we managed to serve top tier clients from a variety of industry domains like Banking/Insurance, Luxury and Tech. About the role Key responsibilities • Collaborate with technical teams to establish Analytics engineers best practices, • Helping the client migrate from tableau to omni, • Work with our clients’ teams to address their business challenges, define successful analytics outcomes and develop data models to address them., • Collaborate with data engineers, analytics engineers, and other analytics team members to define the scope and requirements of analytical projects., • Stay up to date with the latest technologies and tools in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field., • 4+ years of experience in data engineering, analytics engineering, or a related field., • Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems., • Strong communication and collaboration skills, with the ability to work in a team environment., • Ability to manage multiple priorities and work effectively., • Strong experience with dbt and Snowflake., • Experience with Omni implementation, • Experience with data modelling, ELT processes, and data warehousing., • Familiarity with data visualisation tools such as Looker, Power BI, or similar., • Fluent in English Application process • an introductory call with the recruiter, • a technical + behaviour interview with one of our Analytics Engineer Consultants, • a final interview with the client Location: for this role we are considering candidates based in the UK or in Germany.

Senior Quantitative Analyst Up to £130,000 London (Fully Onsite) Please note: This role cannot provide sponsorship Company: Join a world-class global investment management firm that specialises in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: • Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies, • Develop predictive models for sports outcomes using advanced mathematical and statistical techniques., • Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies., • Implement and optimise numerical methods to support robust, scalable model performance in live environments., • Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment., • Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: • MSc, PhD Degree in Mathematics, • Have 5+ years of relevant industry experience., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment., • Strong background in mathematics, statistics, or a related quantitative field, • Experience in developing mathematical models to predict real-world outcomes, • Proficiency in numerical implementation and computational methods

We are looking for an accomplished Senior Research Analyst or junior Portfolio Manager with strong quantitative expertise to join a leading global equity investment team based in London. This position offers the opportunity to play a pivotal role within a strategically sophisticated, research-driven environment, where advanced analytics and quantitative modelling inform multi-billion-dollar investment decisions. The successful candidate will operate at the forefront of systematic equity research, leveraging statistical analysis, programming proficiency and factor-based frameworks to develop actionable insights and continuously enhance the firm’s investment architecture. Responsibilities: • Lead research projects that enhance equity factor models and capture risks and opportunities more effectively., • Apply advanced statistical and econometric techniques to large, complex datasets., • Use programming (e.g. Python, R, Matlab) to design, test, and scale quantitative investment models., • Monitor, manage and interpret investment data, translating it into actionable insights., • Collaborate with portfolio managers, researchers, and technology teams to implement model improvements. Requirements: • 5+ years’ proven experience in a quantitative research, analytical role or portfolio management role., • Degree in a numeric discipline such as mathematics, econometrics, statistics, or computer science., • Professional experience in equity markets or related quantitative research., • Strong programming skills and ability to work with large equity market datasets., • Knowledge of equity factors, portfolio construction and modelling techniques., • Strong problem-solving and analytical mindset with excellent attention to detail. Due to the increased number of applications for this role, we may only respond to candidates whose experience most closely matches the criteria. At our company, we prioritise equity throughout the recruitment process. We are committed to ensuring fairness and equal opportunities for all applicants. If there is anything we can do to make the process more accessible to you, please let us know.

Company: A leading quantitative hedge fund specialising in high-frequency strategies across global equities, futures, and options markets. Location: London, United Kingdom. Brief: The firm is a building a specialist, ML-driven HFT team covering equity and futures markets. Responsibilities: • Design, build, and backtest machine learning models to generate alpha in low-latency settings., • Work closely with infrastructure and execution teams to integrate models into production., • Engage in data engineering and feature engineering: sourcing, cleaning, and transforming vast streams of market/alternative/microstructure/tick-level data., • Develop strategies that adapt to market microstructure dynamics (e.g. order flow, market impact, latency arbitrage, predictive of short-term price movements)., • Conduct rigorous risk assessments and monitor/maintain live performance. Requirements: • Advanced degree (PhD/MSc) in a quantitative discipline: Mathematics, Physics, Statistics, Computer Science, or similar., • Strong background in machine learning, deep learning, and statistical modelling (e.g., gradient boosting, neural networks, reinforcement learning)., • Proficiency in Python, C++, and high-performance computing environments., • Experience with financial time-series analysis, market microstructure, or electronic trading preferred.

Financial Risk Manager | 6-Month FTC (likely to extend) | UK Bank | Hybrid (London) A fast-growing UK bank with a strong presence in the SME and private client space is seeking an experienced Financial Risk Manager to join its expanding Risk function on an initial 6-month fixed-term contract, with a strong possibility of extension for a further 6 months. Key Responsibilities • Support IFRS 9 Expected Credit Loss (ECL) analysis and provisioning, ensuring compliance and accuracy., • Prepare and support credit risk MI, including portfolio analytics and impairment trends., • Contribute to ICAAP modelling, stress testing, and scenario analysis aligned with regulatory expectations., • Analyse Risk-Weighted Assets (RWA) under the Standardised Approach and support capital adequacy reporting., • Monitor regulatory developments (Basel 3.1, PRA/FCA) and assess their impact on financial risk frameworks., • Collaborate with Finance, Risk, and Treasury teams to integrate risk insights into business planning., • Support internal and external audits with documentation and analysis related to provisioning and capital. Qualifications & Skills • Bachelor’s or master’s degree in finance, Economics, Mathematics, or a related field., • 3+ years of experience in financial risk analysis within a regulated banking environment., • Strong working knowledge of IFRS 9, ICAAP, Basel 3.1, and credit risk reporting., • Experience with RWA calculations under the Standardised Approach., • Familiarity with bank lending products and associated risk metrics., • Proficiency in Excel, Python, and risk modelling tools., • Strong communication skills with the ability to present complex risk topics clearly.

Who are Net-Zero Geosystems? Net-Zero Geosystems (NZG) is a science and technology Team focused on the development of geoscientific simulation tools and services for the subsurface. The focus of our work is to provide robust evidence-based tools to lower the operational risks of subsurface projects. We are driven to deliver industry-leading & high-performance software for our clients. NZG is working on the geosystems of the energy transition (CO2 storage, geothermal energy, radioactive waste disposal and hydrogen storage) and on traditional geosystems (such as oil & gas). NZG’s ambition is to drastically improve the value that simulations tools deliver and to become a major software provider of the subsurface industry. Beyond the success of NZG, we are interested in benefitting society while limiting harm to humans and the environment. We are a small and growing Team, we value in-person interactions, collaboration, accountability, clarity of communications and compassion. Our technology Our principal technology predicts the probability of subsurface well integrity loss and leakages. Ensuring a sustained long-term containment of greenhouse gases and harmful fluids is crucial for all energy geosystems. Reliable well integrity prediction methods are key for gaining confidence in subsurface projects, obtaining regulatory & financial approval, and facilitating the implementation of economically viable measures for risk prevention and mitigation. Specifically, our technology will dramatically improve the longevity of wells and their resilience, reduce risk, reduce environmental impact, drive costs down, enable well re-purposing and ensure permanent containment (of CO2, radioactive materials, methane …). The role The Computational Geoscientist will be driving the delivery of NZG’s R&D and applied projects. They will develop innovative software, undertake scientific research and apply our technology for our client’s operations. R&D projects will be focussed on developing our simulators and the QRA (Quantitative Risk Assessment) frameworks built around them. The QRA frameworks leverage statistical methods (Monte-Carlo, sensitivity analysis) and optimization methods to provide users with failure probabilities (e.g. leakages, fault reactivation & seismicity) and means to reduce them. Applied projects include supporting well integrity experiments and leveraging our technology to solve complex subsurface problems. Responsibilities · Software development: Develop innovative software and physics models, write theory documents, conduct validation and calibration tests, write unit tests, manage the codebase (git/GitHub), conceptualise user interfaces and liaise with subcontractors for the deployment of our software on the cloud. · Project delivery: Lead the delivery of work packages and technical objectives for our R&D and applied projects, write deliverable descriptions, monitor progress and ensure deadlines are met, communicate with other team members involved. · Product development: contribute to product direction, understand user and design product specifications to meet them effectively, align business and technical objectives. · Building the Team: help shape our Team culture, participate in hiring and onboarding, establish workflows and communication norms that keeps the Team organised and efficient. · Communication and collaboration: Regularly present research outcomes, project milestones, and development progress to the Team, external stakeholders, and to the industrial and scientific community. · Customer and community engagement: Talk to our users and support them, gather user feedback, write LinkedIn posts and case studies, speak at events. About you The ideal candidate is an excellent team player with experience in developing numerical methods and physics solver (FEM, FDM, FVM…), Python and C++ skills, strong mathematics skills, knowledge of solid & fluid mechanics theory, and a background in Geosciences. In particular, we are looking for: · Self-reflection and emotional intelligence · Scientific rigour and attention to detail. · Awareness beyond technical considerations such as business and client priorities. · A track record of delivering and meeting deadlines. · Excellent written and verbal communication skills . · Proficiency in Python, C++, Paraview, Linux, LaTeX, Git. · Experience in deriving partial differential equations, developing implicit solvers (for thermo-hydro-mechanical and chemical coupled physics). · Experience in developing finite element, finite volume and finite difference software. · A background in geoscience, in particular petroleum engineering. The list above is an ideal, we encourage you to apply even if your experience doesn’t cover every item – you can learn with us. We value curiosity, a willingness to learn, and a genuine interest in the role. What does Net-Zero Geosystems offer? · Flexible working hours · Hybrid working (at present, 3 days in the office and 2 days remote) · 25 days holiday (excluding bank holidays) Our office is in London, so the role is only suitable for UK-based individuals living within a commutable distance from London (<1h) and to those willing to relocate.

Lead/Principal Data Scientist London - 3 days a week Up to £135,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They’re now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities • Translate complex business problems into measurable data science solutions that deliver commercial value, • Lead the design, development, and deployment of predictive and optimisation models across multiple industries, • Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment, • Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions, • Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices, • Communicate findings and strategic insights to both technical and non-technical stakeholders Requirements: You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. • Proven experience applying data science in commercial settings, • Proven ability to lead data science projects from concept to production, • Deep understanding of statistical modelling, predictive analytics, and optimisation techniques, • Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders, • Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university, • Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship

Educationalist In-person Interviewing Event With extensive network of schools across Asia and a rich legacy of educational excellence rooted in the heritage of UK Harrow School, AISL Harrow Schools stands as the leading international and bilingual education group in the region. As the recruitment season approaches, we are delighted to invite you to take part in our in-person interviewing event at Harrow London campus. This event provides the opportunity for interested educators to meet with our senior leaders face-to-face, showcase your experience, and discover where your career could take you across our network of schools in Hong Kong SAR, China, Thailand, and Japan. Selected educators would be invited to take part in a 1 hour interviewing session with one of our Senior School Leaders. We welcome experienced educators to express your interest in attending this event by applying here. Event Details: Date: Saturday 15th November, 2025 Time: 9:00 AM to 5:00 PM Location: Harrow on the Hill, London, UK Application Requirements: • Appropriate degree, UK PGCE or equivalent, • A minimum 2 years’ of teaching experience, • Working knowledge of the National Curriculum of England is highly desirable, • Subject expertise in Science, Mathematics and ICT/Computer Science is highly preferred, • Previous experience or knowledge of working with pupils for whom English is not their first language, • Evidence of relevant and challenging continuing professional development Knowledge and experience, • Aware and up to date in all relevant safeguarding polices and practice, • Recent and consistent involvement in extracurricular activities, • Respect for all members of a school community, irrespective of position, gender, age and ethnic background, • Passionate about teaching and a strong commitment to holistic education, • The ability to inspire pupils through a genuine passion for learning and a desire to lead them towards outstanding academic outcomes, • A positive and solution-focused attitude to working life, • Highly motivated, ambitious and collaborative, • Genuine passion and enthusiasm in working with children

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £35,000 – £40,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: • Designing and building machine learning models to solve real-world problems, • Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment, • Applying statistical and AI techniques to generate actionable insights, • Contributing to experimental research, model prototyping, and A/B testing, • Presenting findings clearly to both technical and non-technical stakeholders, • Collaborating across data science, engineering, and product teams to build scalable solutions, • Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: • A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline, • Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome, • A solid understanding of core machine learning concepts, data wrangling, and model evaluation, • Proficiency with SQL and experience handling large datasets, • A passion for solving complex problems using data and a continuous learning mindset, • Excellent communication and collaboration skills, • Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): • Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch), • Exposure to cloud platforms (AWS, GCP, or Azure), • Experience with experimental design, research methods, or academic publishing, • Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus 🏡 Hybrid Working: A flexible mix of office and remote work 📈 Career Growth: Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack: Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture: Be part of a supportive and innovative team ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up-to-date CV and we will be in touch ASAP to arrange an initial call.

AVP/VP, Quantitative Researcher (Fixed Income & Multi Asset & Structured Products – Alternative Credit) Location: London Excellent base salary, bonus & benefits Overview: Excellent opportunity with one of world’s largest sovereign wealth funds with global reach. This will give you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, this is a great opportunity to accelerate your career and work at the cutting edge of investments. Investment Insights Group: The team of quantitative researchers and data scientists residing in each asset department to harness alternative data and advanced quantitative methods to generate superior investment performance. While quantitative researchers reside within specific asset departments alongside investment teams, they are also part of the broader quantitative community, which provides ongoing capability development in quantitative techniques, functional mentorship, and exposure to cross-asset projects. What impact can you make in this role? We are seeking a highly skilled and motivated Quantitative Strategist to join our Alternative Credit Group (ACG). This role offers the opportunity to work on complex financial products, including structured products and other forms of asset-backed financing. The ideal candidate will have a strong quantitative background, excellent programming skills, and a deep understanding of structured products. What will you do as a Quantitative Strategist? • Risk Analysis: Understand the mechanics of structured products and apply this knowledge to model development and risk analysis., • Quantitative Techniques: Apply advanced mathematical and statistical techniques to solve complex problems and make data-driven decisions., • Financial Modelling: Develop and maintain financial models in Python, ensuring they accurately represent financial scenarios and risks., • Data Management: Work with AWS and databases to manage and analyse large datasets., • Communication: Communicate complex quantitative concepts and solutions effectively to stakeholders, including traders, portfolio managers, and risk managers., • Collaboration: Collaborate with other teams, including technology, risk management, and trading, to integrate quantitative models into broader business processes. What qualifications or skills should you possess in this role? • Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field., • Strong programming skills in Python, with experience bringing code to production., • Solid understanding of structured products and their mechanics., • Strong mathematical and advanced statistical skills., • Experience in coding financial models in Python., • Familiarity with AWS and database management., • Problem solving skills with the capacity to understand an issue and propose solutions., • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Preferred: • Advanced degree in a quantitative field., • Experience with other programming languages or tools used in quantitative finance., • Experience in working with Intex Performance and Loan level data., • Prior quantitative work in asset backed financing space, • Good to have experience with delinquency, prepayment, recovery modelling for structured products. Make your mark in this esteemed team and apply to Allison Gillson.

Senior Risk Manager – Investment Management About the Firm Our client is a London-based investment firm with a strong track record of delivering risk-adjusted returns across global markets. The firm are currently seeking a Senior Risk Manager to cover the rates trading business, including directional, relative value, and macro strategies. Role Overview The Senior Risk Manager will play a key role in the oversight and management of market risk related to the firm’s global Rates business. This individual will partner closely with portfolio managers, traders, and senior leadership to provide high-quality risk analysis, stress testing, scenario modelling, and limit setting. The ideal candidate will have deep knowledge of fixed income markets, including interest rate derivatives, sovereign bonds, and cross-currency instruments. Key Responsibilities • Provide independent oversight of market risk across Rates strategies, including macro, RV, and volatility-based trades., • Analyze portfolio exposures across curves, duration, convexity, volatility, and cross-asset factors., • Develop and interpret stress tests, historical/event-driven scenarios, and customized risk analytics., • Collaborate with portfolio managers to understand trade rationales and risk-reward dynamics., • Work with quantitative teams to enhance risk models, tools, and infrastructure., • Contribute to firm-wide risk reviews, liquidity assessments, and capital allocation discussions., • Present risk insights to senior management and risk committees in a concise and actionable manner. Key Requirements • 8 + years of experience in market risk, trading, or portfolio management with a focus on Rates., • Deep understanding of interest rate products (swaps, futures, options, bonds, cross-currency swaps)., • Experience with macroeconomic and central bank policy impacts on rates markets., • Proficiency in Excel and at least one programming language (Python preferred); familiarity with Bloomberg, Yield Book, or other risk systems., • Strong communication skills and ability to influence across senior stakeholders., • Highly analytical mindset with commercial acumen and attention to detail., • Experience working in an investment bank, hedge fund, proprietary trading desk, or similar environment preferred., • Advanced degree in a quantitative or finance-related field (e.g., Mathematics, Engineering, Economics, Financial Engineering) preferred. For more details, please contact Jon Pettet at

About the Company Trine Energy (“Trine”) is a UK based early stage startup developing products for transmission of electrical power (1MW+) using power of fiber (PoF) as the core technology. PoF is already in use in many industries. However the power used in those applications are in milliwatts. Trine’s power transmission target is orders of magnitude higher. It is a challenging yet exciting problem to solve. Trine is working on the hypothesis that the production of power is a solved problem. Solar and wind based energy production has been rapidly scaling since the start of the century. In fact there is too much generation of solar and wind power in many European countries leading to curtailment and negative spot price of electricity. Renaissance of fission nuclear reactors and the advancements in fusion means there will be no shortage of electrical power. The challenge will be to distribute that power at a national and global scale. Today, the only option of distributing electrical power over distance is the power grid. It works, but just. It is a super old technology. It takes immense effort to build or expand, and is costly to maintain. According to various studies, ~$1 Trillion of annual investment is needed globally to upgrade and expand the grid networks to reach net zero target by 2050. Governments don’t have fiscal capacity to make such investments. It has not seen any real innovation for a very long time and there is none on the horizon to significantly reduce the cost. It gets unstable when there is too much intermittent power in the mix, which goes against the global drive for energy transition. It is fragmented, and has no global scale. Laser and fiber optic, in comparison, are modern technologies, enjoying rapid innovation. Both are highly flexible products. They have many interesting properties that electricity and power cables don’t have. They can be produced in significantly higher volumes and are easy to deploy. Their cost and performance are improving at Moore’s law scale. This opens the opportunity for Trine to build products and become an alternative to specific use cases that are easier to develop and implement in the near term, such as providing power redundancy using short distance transmission (<5km) to critical infrastructure such as defense systems and data centers. It is also possible to deliver electrical power as thermal energy for commercial and industrial heating. The long term goal is to create a global network of power, much like the internet, where producers and end users can connect instantly and seamlessly using Trine’s technology. The products that solve the energy distribution problem at a global scale have the potential to define a new industry. Trine’s plan is to combine technologies from different fields of science and engineering such as high power diode and fiber lasers, specialised fiber optic, power over fiber, and thermal photovoltaic cells to achieve the goal. By using technologies that are already invented and commercialised, and pushing the boundaries of engineering and finance to create a product that solves one of the biggest energy transition bottlenecks, is a mission worth pursuing. About the Role This is a unique multi-disciplinary role. It requires the product manager to be a first principle thinker and problem solver, bringing together knowledge from different fields to develop a product that has no precedence. There are some known challenges that have to be overcome in the product- high loss rates and management of heat generated in the process. The end to end efficiency of the product can be as low as 20%. But that is a respectable target in the near term. Many energy systems globally operate in similar efficiency levels e.g. photovoltaic cells, coal fired plants etc. It is reasonable to assume that: one, marginal cost of electricity from solar and wind will continue to fall rapidly and will tend to zero; two, the laser and fiber optic products will improve at an exponential scale in terms of loss rates, power levels and cost per watt. With these assumptions, the product manager needs to find a path of success by collaborating with established OEMs and taking minimum possible technology and innovation risk. The company is already in discussions with global players in laser and fiber optics. The company also has onboarded experts in laser, optics and mathematical modeling/simulation. The company will add talent as required for the product development. Responsibilities Trine product currently is at TRL 2 level. There is a high level product definition and design of an end to end system consisting of several components. The high level design has been discussed with academic advisors and the OEMs who have provided useful vetting and guidance for improvement. The product manager will be responsible for spearheading the product development from the current stage and reach TRL level 3 or 4 within three months of joining. The company had positive discussions with renowned laser and optics labs in the UK who have expressed interest to collaborate once the product reaches TRL 3. The company aims to achieve TRL 6 by Q3 2026 and TRL 10 by Q3 2027. The product manager will work closely with the company founders, who are hands-on and have strong commercial and product development background. The product manager is expected to bring deep technical insight and engineering acumen to make better product decisions and solve the technical challenges. The product manager will be required to work closely with all external stakeholders and manage the day to day interactions and relationships. The stakeholders include OEMs, labs, academic partners and technical consultants, potential customers and government agencies. Skills and Experience Given the nature of the product and ambitions, the product manager must be strong in physics and mathematics. A deep understanding of laser physics and optics is essential, hence a masters or PhD in these subjects is necessary. While prior industry experience in these fields is not a requirement, it will be an advantage. Any of the following experience of skill would be a nice to have: • Design and integration of optical subsystems for high-power laser transmission through conventional optical fiber., • Model, build, and test coupling optics (lenses, mirrors, beam shapers, isolators) for efficient injection into and extraction from fiber., • Develop strategies to manage nonlinear effects (SRS, SBS) using proven approaches (beam splitting, pulsing, spectral filtering)., • Collaborate with laser physicists, power electronics engineers, and simulation experts to ensure end-to-end energy efficiency., • Create optical alignment and stability protocols for laboratory and pilot setups., • Work with the systems integration team to define scalable architectures for larger deployments., • Hands-on experience with solid-core fiber systems (preferably high-power delivery)., • Familiarity with optical simulation tools (e.g.Zemax, FRED, TracePro, COMSOL, Lumerical), • Experience designing optical test setups and experiments in lab environments., • Excellent problem-solving skills, capable of pragmatic engineering trade-offs (using existing tech creatively, not reinventing fundamentals), • Experience in optical amplifiers, beam combiners, or pulsed laser systems., • Background in power/energy applications (not just telecom or data)., • Familiarity with control systems integration for optics. What We Offer This is a UK based role, preferably in London. While UK based candidates are preferred, overseas candidates are welcome to apply. This is a full-time role but part-time or consulting/time-based engagements are also feasible for a certain period of time if circumstances require. This is an opportunity to work on a game-changing energy distribution system with massive global impact. The role will have high visibility, travel, participation in industry events, and an opportunity to work with top OEMs, academia, labs and customers. You will have freedom to operate, collaborate and push boundaries. Besides competitive compensation, the company will provide a private healthcare plan for self and family, opportunity to participate in employee stock plan and long-term growth.

Managers at CFGI work closely with senior management of FTSE 100, mid-cap, and start-up companies. CFGI Managers lead project teams and interact with clients and their Big 4 auditors on all aspects of engagements, including report writing and developing and managing client relationships. Take ownership of your career at CFGI: · Gain exposure to a wide range of industries and/or projects · Make a true business impact with your clients · Own projects from start to finish · Experience client interaction and thrive in a client-facing role · Be consistently challenged and learn through a collegial environment created from top tier experts hired within the firm · Enjoy a flexibility working environment - office/remote/client site (engagement specific) · Create your own path · Enjoy what you do! As part of the CFGI Valuation Practice your job will be to help clients in navigating through various complex debt and equity transactions in a multifaceted business environment. We advise a multitude of public companies and private enterprises operating in a variety of industries on a wide range of valuation considerations related to financial and tax reporting. Our Valuation Services professionals work on a wide range of services including valuation of business enterprises, complex debt and equity instruments, and intangible assets for mergers and acquisitions, divestitures, IPOs, dispute resolution, financial reporting, and tax purposes. Work you’ll do · Financial reporting valuations for business combinations (purchase price allocations), including enterprise valuation and intangible assets, inventory, deferred revenue, contingent consideration, debt and equity components analyses · Valuation of goodwill and asset impairment testing for financial reporting purposes · Valuation of complex derivatives and debt instruments for financial reporting purposes · Valuation for tax purposes, including local, international and personal tax, as well as services related to a client's allocation of purchase price for tax purposes only · Advising clients on corporate actions, strategic investment decisions, or other financial objectives Qualifications you’ll need · 5+ years of UK big 4 experience performing valuation analyses for financial reporting purposes is required · In-depth understanding of general valuation approaches · Experience in valuation of complex debt and equity instruments is strongly preferred · Strong excel modelling skills · Exceptional writing skills in preparation of valuation reports, exhibits, memos, and other client deliverables/communication · Strong analytical and problem-solving skills, as well as team building, interpersonal and communication skills · Bachelor's degree in mathematics, finance, economics, accounting, or business · ACA (or equivalent) and/or CFA qualified preferred

Job Description About Us MediaTek is a key player in the semiconductor industry, with more than 40 offices worldwide. MediaTek Research is our dedicated research lab at the forefront of artificial intelligence. We focus on fundamental AI research aimed at advancing the broader scientific community, as well as applied AI research with potential impact on chip design and communication systems. We are committed to open science and regularly publish in top conferences such as NeurIPS, ICML, ICLR, and ACL. About The Internship We are seeking highly motivated and talented PhD students to join our AI research team for a 3–6 month internship. This is an opportunity to contribute to cutting-edge projects alongside experienced researchers and engineers, while gaining real-world research experience in a collaborative environment. The internship is ideal for individuals who are curious, self-motivated, and excited to work at the intersection of theory and application. Interns are encouraged to explore bold ideas, contribute to meaningful research, and take ownership of their work. Our team operates in two main directions: one focused on applying AI to the design and optimization of semiconductors and communication systems, and the other dedicated to fundamental research that supports both our applications and the broader scientific community. Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- • Contribute to ongoing research in machine learning and artificial intelligence, • Help develop and implement algorithms, • Collaborate with researchers and engineers to explore and evaluate new ideas, • Assist in preparing publications and technical reports, • Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field, • Strong interest in research and a background in machine learning or a related area, • Experience with programming languages such as Python, C++, or similar, • Strong problem-solving skills and ability to work independently and collaboratively, • Experience in optimization, reinforcement learning, and/or large language models (LLMs), • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX), • Gain hands-on experience in state-of-the-art AI research with real-world applications, • Collaborate with a team of world-class researchers and engineers, • Contribute to open-source efforts and scientific publications, • Work with and learn from leading academic and industry experts, • Hybrid work arrangement

Quantitative Analyst - Model Validation (Assistant Vice President Level) About the Role The primary mandate of the Model Validation team is to manage model risk across a broad range of business areas, including models used for derivatives valuation, market and credit risk management, liquidity, and capital computations. The team is responsible for independently reviewing models to ensure theoretical soundness, implementation accuracy, and appropriate use. The role involves evaluating model performance, identifying limitations, and helping stakeholders understand the associated risks. Key Responsibilities * Perform independent validation and approval of quantitative models, raising and managing model validation findings. * Conduct annual reviews and revalidations of existing models. * Provide effective challenge to model assumptions, mathematical formulations, and implementation methodologies. * Assess and quantify model risk to inform stakeholders and contribute to compensating control development. * Contribute to strategic and cross-functional initiatives within the Model Risk function. * Oversee ongoing model performance monitoring, including benchmarking, process verification, and outcome analysis. * Communicate validation results, model limitations, and uncertainties to stakeholders and management. * Contribute to automation and efficiency initiatives, including applications of AI and process optimization. Qualifications * MSc or preferably PhD in a quantitative discipline (e.g., Physics, Mathematics, Computer Science, Financial Engineering, Statistics). * Strong understanding of Value-at-Risk (VaR) computation frameworks and Counterparty Credit Risk (CCR) modelling. * Experience in model validation or development, particularly within risk or liquidity modelling contexts. * Proficiency in Python (preferred) or similar quantitative programming languages. * Strong analytical and communication skills, with the ability to provide practical solutions to complex challenges. * Demonstrated ability to work collaboratively within a team-oriented environment. Additional Skills - Liquidity Modelling in Investment Banking * Deep understanding of liquidity risk frameworks and internal liquidity stress testing (ILST) methodologies. * Experience validating or developing liquidity models, including cash flow projections, liquidity coverage ratio (LCR), and net stable funding ratio (NSFR) frameworks. * Familiarity with regulatory expectations for liquidity risk management (e.g., Basel III, PRA, FED, or ECB guidelines). * Ability to assess model performance under stressed conditions and evaluate model assumptions around funding profiles, behavioral deposits, and contingency funding. * Knowledge of balance sheet and treasury modelling, including funding concentration and intraday liquidity risk. * Experience working with liquidity data, scenario analysis, and backtesting of liquidity models. * Strong quantitative and programming skills for implementing and testing liquidity models efficiently. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Level 2 qualifications or equivalent in English and Mathematics (GCSE grade C/4 or above). You will have knowledge of Microsoft Office packages, including Word, Excel and PowerPoint.

Share insights from conferences focused on statistics, machine learning, and data science. Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate).

Responsibilities will include in class assistance and leading small group sessions focused on numeracy, mathematics and general organisation and study skills.

CONTRACT/POSITION DETAILS: Location -Greenwich Position Maths Teacher (KS3/4), KS5 (ideally, but not essential for most schools) Type of work Teaching Start date as soon as possible Full time Minimum rate of pay from GBP150 per day or pay to Scale Hours 8:15am 4pm EXPERIENCE, TRAINING AND